Data Platform Engineer

US-NY-New York
Requisition ID
17-7681
Division
Venues
Functional Area
Information Technology

Overview

The Madison Square Garden Company (MSG) is a world leader in live sports and entertainment experiences.  The company presents or hosts a broad array of premier events in its diverse collection of iconic venues: New York’s Madison Square Garden, The Theater at Madison Square Garden, Radio City Music Hall and Beacon Theatre; the Forum in Inglewood, CA; The Chicago Theatre; and the Wang Theatre in Boston.  Other MSG properties include legendary sports franchises: the New York Knicks (NBA), the New York Rangers (NHL) and the New York Liberty (WNBA); two development league teams -- the Westchester Knicks (NBAGL) and the Hartford Wolf Pack (AHL); and one of the leading North American esports organizations, Counter Logic Gaming.  In addition, the Company features popular original entertainment productions -- the Christmas Spectacular and New York Spectacular – both starring the Radio City Rockettes, and through Boston Calling Events, produces outdoor festivals, including New England’s preeminent Boston Calling Music Festival.   Also under the MSG umbrella is TAO Group, a world-class hospitality group with globally-recognized entertainment dining and nightlife brands: Tao, Marquee, Lavo, Avenue, The Stanton Social, Beauty & Essex and Vandal.  More information is available at www.themadisonsquaregardencompany.com

EEO Statement

At MSG we value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law requirements, MSG complies with all applicable state and local laws governing nondiscrimination in all locations.

Responsibilities

The Data Platform Engineer will report to the Director, Data Architecture and will be responsible for the design, build, and maintenance of Madison Square Garden Company’s data platforms used for both analytics and for the integration of business and customer-facing applications. The Data Platform Engineer will have the opportunity to work with data that spans all of MSG’s business units and includes metrics for the Knicks, Rangers, Rockettes, and concerts held in MSG venues. The Data Platform Engineer will work closely with both Business and Technical stakeholders to develop solutions that establish MSG as a leader in the use of data to drive outstanding business performance by making actionable insights available when and where they add the most value

 

  • Design, build, maintain, and optimize components of MSG enterprise data architecture required to meet the analytics and production data needs of the business
  • Partner with business stakeholders and Business Intelligence (BI) developers to define data requirements and ensure accuracy of all metrics and master data
  • Develop and implement data models to optimally deliver on the needs of business stakeholders
  • Design, develop, and maintain ETL required to populate data models
  • Establish clean, robust master data for use across business functions
  • Evaluate and inform selection of technologies to build and optimize MSG's data solutions
  • Triage and resolve issues across all areas of MSG's data solutions

Qualifications

  • 3 + years data platform development experience
  • Bachelor’s degree in Computer Science, Engineering or related field
  • Expertise in data modeling, ETL, SQL coding plus working knowledge of Big Data solutions and noSQL databases
  • Strong problem solving and analytical skills
  • Strong project management and coordination skills
  • Excellent communication skills with ability to engage with business stakeholders to effectively translate business requirements into technical solutions
  • High level of enthusiasm for building innovative data solutions

Education

Candidates who have completed 60 credits of college-level coursework (representing 2 years), or have shown similar self-development through certifications, trade school coursework, etc. are preferred.

Educational requirements may differ from job to job based on the role.

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